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Virtual Physiological Human 2018 Conference- VPH for In silico Medicine

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Model-based design of 3D-printed calcium-phosphate based biomaterials

for dental applications

Bingbing Liang, Varun Manhas, Dorien Van Hede, France Lambert, Liesbet Geris

Biomechanics Research Unit, GIGA In silico Medicin, University of Liege, Belgium

Dental Biomaterials Research Unit, University of Liège, Belgium Biomechanics Section, KU Leuven, Belgium

Correspondence:Bingbing.liang@uliege.be, address: Build. B52/3 Biomechanics Research Unit, avenue de la

Découverte 9, 4000 Liège, Belgium

1. Introduction

The use of ceramic biomaterials for dental bone regeneration or alveolar bone preservation is a reliable treatment option compared to autologous bone involving higher morbidity. Improving scaffold design for optimal osseointegration can be obtained by changes to the local geometry, surface roughness, material composition etc. In this study, the first steps are explained of a model-based design tool for calcium-phosphate-model-based 3D printed dental biomaterials.

2. Materials and Methods

A previously published model for perfusion bioreactor based neotissue (cells + their extracellular matrix) growth [1] is used as the basis for this study. The level-set method (LSM) is used to simulate the advancement of the neotissue inside the 3D scaffold.

Define a domain Ω ⊂ Rd, d = 2,3; and a

decomposition of two subdomains Ωnt and Ωv

(where Ωnt is the neotissue area/volume and Ωv

the void area/volume) with the interface between them denoted as Γ. The role of the LSM is to track implicitly the interface Γ(t) moving with a velocity vG. The main object of

this method is a continuous scalar function ϕ defined on the domain. This LS function ϕ is a signed distance function positive in Ωnt,

nega-tive in Ωv and zero on Γ. The interface tracking

is described by an advection equation of the level-set function ϕ on the whole domain Ω.

The interface advection velocity vG, is based on

a number of factors specific to the dental biomaterial situation including curvature-based growth, material composition characterised by calcium release and surface roughness.

Calibration of this model is performed by comparison of the simulation results to experimental results obtained on a number of basic channel geometries (square, round, hexagon, triangle) in CaP 3D printed discs of various material compositions and sintering temperatures.

3. Results

Figure 1 shows the filling of a hexagonal channel for various channel diameters over (computed) time.

Fig 1: filling of hexagonal shaped channel (top view) over computed time for various heights of the channel with hexagonal cross-section: 1mm (top), 0.7 mm (middle) and 0.5 mm (bottom).

Experimental results on channel filling are currently being analysed based on life/dead images taken at various time points (7 & 14 days) after seeding of skeletal progenitor cells onto the printed discs. Based on these results, the function vG will be determined.

4. Discussion and Conclusions

Calibration of the neotissue growth model with results from the basic canal shapes tested experimentally will generate a tool that subsequently can be used to design 3D printable geometries for dental applications.

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Acknowledgements: We gratefully

acknow-ledge support from the Wallon Region through the BioWin project BIOPTOS.

Figure

Figure   1   shows   the   filling   of   a   hexagonal channel   for   various   channel   diameters   over (computed) time

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